Author(s): Mutawaqila Juveria Fatima, C. Parthiban

Email(s): fmuatwaqilajuveria@gmail.com

DOI: 10.52711/2231-5713.2024.00061   

Address: Mutawaqila Juveria Fatima, C. Parthiban Department of Pharmaceutical Analysis, Malla Reddy College of Pharmacy, Osmania University, Hyderabad, 500007, Telangana, India. *Corresponding Author

Published In:   Volume - 14,      Issue - 4,     Year - 2024


ABSTRACT:
This review is done to understand the importance of Artificial Intelligence (AI) as Artificial intelligence (AI) is a branch of computer science that allows machines to work efficiently and analyze complex data. The research focused on AI has increased tremendously, and its role in healthcare service and research is emerging at a greater pace. The AI technologies in the healthcare industry include machine learning (ML), natural language processing (NLP), physical robots, robotic process automation, etc. AI capabilities are rapidly evolving within healthcare, with both clinical and operational implications for pharmacy. There are opportunities for AI to explore further in the field of pharmaceutical and healthcare research because of its ability to investigate enormous data from various modalities. Some of the current studies elaborate on the utilization of AI in healthcare and other sectors. AI focuses on producing intelligent modeling, which helps in imaging knowledge, cracking problems, and decision-making. Recently AI played an important role in various fields of pharmacy like drug discovery, drug delivery formulation, development, poly pharmacology, hospital pharmacy, etc. Ongoing disruptive innovations are paving the way for patients to receive faster and more accurate diagnoses, along with personalized treatment options. AI can research and cross-reference published scientific materials with alternative resources, including clinical trial results to develop drugs and discover new effective treatment methods for rare diseases.The future of AI in pharmacy looks promising, with ongoing research aimed at addressing existing gaps and enhancing the integration of AI tools into everyday pharmacy practice. As technology advances, pharmacists are likely to play an increasingly vital role in patient care through the effective use of AI, ultimately leading to improved health outcomes and more personalized healthcare services.


Cite this article:
Mutawaqila Juveria Fatima, C. Parthiban. Artificial Intelligence [AI] -The Game Changer in Pharmaceutical Industry. Asian Journal of Pharmacy and Technology. 2024; 14(4):386-4. doi: 10.52711/2231-5713.2024.00061

Cite(Electronic):
Mutawaqila Juveria Fatima, C. Parthiban. Artificial Intelligence [AI] -The Game Changer in Pharmaceutical Industry. Asian Journal of Pharmacy and Technology. 2024; 14(4):386-4. doi: 10.52711/2231-5713.2024.00061   Available on: https://ajptonline.com/AbstractView.aspx?PID=2024-14-4-14


REFERENCES:
1.    Krikorian, G.; Torrel, E. We Cannot Win the Access to Medicines Struggle Using the Same Thinking That Causes the Chronic Access Crisis. Health Hum. Rights. 2021; 23: 119–127. [Google Scholar]
2.    Chavda, V.P.; Vihol, D.; Patel, A.; Redwan, E.M.; Uversky, V.N. Introduction to Bioinformatics, AI, and ML for Pharmaceuticals. In Bioinformatics Tools for Pharmaceutical Drug Product Development; John Wiley and Sons, Ltd.: Hoboken, NJ, USA, 2023; pp. 1–18.
3.    Scannell, J.W.; Blanckley, A.; Boldon, H.; Warrington, B. Diagnosing the Decline in Pharmaceutical R&D Efficiency. Nat. Rev. Drug Discov. 2012; 11: 191–200.
4.    Munos, B. Lessons from 60 Years of Pharmaceutical Innovation. Nat. Rev. Drug Discov. 2009; 8: 959–968.
5.    Mak, K.-K.; Pichika, M.R. Artificial Intelligence in Drug Development: Present Status and Future Prospects. Drug Discov. Today. 2019; 24: 773–780.  
6.    Raza MA, Aziz S, Noreen M, Saeed A, Anjum I, Ahmed M, Raza SM. Artificial intelligence (AI) in pharmacy: an overview of innovations. Innovations in Pharmacy. 2022; 13(2).
7.    Tarle S, Kakad A, Shaikh M. Overview: Embracing tools of artificial intelligence in pharmaceuticals. Int J Sci Acad Res. 2023; 4(6): 5749-5.
8.    Dahiya A, Dhull A, Singh A. Advancing Healthcare Security: Exploring Applications, Challenges, and Future Research Paths in Healthcare 5.0. InHealthcare Industry Assessment: Analyzing Risks, Security, and Reliability. 2024: 93-120. Cham: Springer Nature Switzerland.
9.    Gude S. Artificial Intelligence in Pharmacy. Int. J. Pharm. Sci. Rev. Res. 2023; 80(2): 1-7. doi: 10.47583/ijpsrr. 2023.v80i02.001. Available from: https://globalresearchonline.net/ijpsrr/v80-2/01.pdf.
10.    Kaul V, Enslin S, Gross SA. History of artificial intelligence in medicine. Gastrointestinal Endoscopy. 2020 Oct 1; 92(4): 807-12.]
11.    Paul D, Sanap G, Shenoy S, Kalyane D, Kalia K, Tekade RK. Artificial intelligence in drug discovery and development. Drug Discovery Today. 2021; 26: 80–93.
12.    Syren Cloud. Role of AI in pharma supply chain management Available from https://syrencloud.com/insights/role-of-ai-in-phar,ma-supply-chain-management/.
13.    Deloitte. Intelligent drug supply chain - Creating value from AI. Avaialble from: https://www2deloitte.com/ch/en/pages/life-sciences-and-healthcare/articles/intelligent-drug-supply-chain.html.
14.    Xenonstack. Biopharmaceeutical Supply Chain Managgement: AI-powered. Available from: https://wwwxenonstack.com/blog/biopharmaceutical-supply-chain-management-with-ai.
15.    Contract Pharma. AI In Bio/Pharma Supply Chain: Experts Share Insights at DCAT Week. Available from: https://www.contractpharma.com/contents/view_online-exclusives/2024-03-19/ai-in-biopharma-supply-chain-experts-share-insights-at-dcat-week/
16.    Askin S, Burkhalter D, Calado G, El Dakrouni S. Artificial Intelligence Applied to clinical trials: oppurtunities. Digital Health 2023. Available from: https://link.springer.com/article/10.1007/s12553-023-00738-2.
17.    ICON Plc. AI technologies for drug development and clinical trials. Available from: https://www.iconplc.com/insights/digital-disruption/ai-and-clinical-trials
18.    sKelly CJ, Karthikesalingam A, Suleyman M, et al. Key challenges for delivering clinical impact with artificial intelligence. BMC Medicine. 2019; 17:195. Available from: https://bmcmedicine.biomedecentral.com/articles/10.1186/s12916-019-1426-2.
19.    Vora LK, Gholap AD, Jetha K, Thakur RR, Solanki HK, Chavda VP. Artificial intelligence in pharmaceutical technology and drug delivery design. Pharmaceutics. 2023 Jul 10; 15(7): 1916.
20.    Pacis DM, Subido ED, Bugtai NT. Trends in telemedicine utilizing artificial intelligence. InAIP conference proceedings 2018 Feb 13 (Vol. 1933, No. 1). AIP Publishing.
21.    Lamberti MJ, Wilkinson M, Donzanti BA, Wohlhieter GE, Parikh S, Wilkins RG, Getz K. A study on the application and use of artificial intelligence to support drug development. Clinical Therapeutics. 2019 Aug 1; 41(8): 1414-26.
22.    Mishra, V., Thakur, S., Riyaz, B., Bansal, K., Tomar, B., and Mishra, V. Artificial Intelligence: The Beginning of a New Era in Pharmacy Profession. Asian Journal of Pharmaceutics. 2018; 12(2): 72-76
23.    Kumar, Y., Koul, A., and Singla, R. Artificial Intelligence in Disease Diagnosis: A Systematic Literature Review, Synthesizing Framework and Future Research Agenda. Asian Journal of Pharmacy and Technology. 2023; 13(2): 8459-8486.]
24.    Sahu, A., Mishra, J., and Kushwaha, N. Artificial Intelligence (AI) in Drugs and Pharmaceuticals. Asian Journal of Pharmacy and Technology. 2022; 12(1): 1818-1837.]
25.    Patel, J., Patel, D., and Meshram, D. Artificial Intelligence in Pharma Industry-A Rising Concept. Asian Journal of Pharmacy and Technology. 2021; 11(3): 202-209.]
26.    Chalasani, S.H., Syed, J., Ramesh, M., Patil, V., and Kumar, T.P. Artificial Intelligence in the Field of Pharmacy Practice: A Literature Review. Asian Journal of Pharmacy and Technology. 2023.
27.    Flynn, Pearson, and Barker. Observational study of accuracy in compunding i.v. admixtures at five hospitals. Am J Health-Syst Pharm. 1997; 54(8): 904-912.
28.    Bilic-Zulle, L., Azman, J., Frkovic, v., and Mavrinac, M. Automation in clinical biochemistry: core total laboratory, point of care automation, and pharmacogenetics. Biochemia Medica. 2011; 21(2): 106-120.
29.    Ha T, Lee D, Kwon Y, Park MS, Lee S, Jang J, Choi B, Jeon H, Kim J, Choi H, Seo HT. AI-driven robotic chemist for autonomous synthesis of organic molecules. Science Advances. 2023; 9(44): eadj0461.]
30.    Al Meslamani AZ. Applications of AI in pharmacy practice: a look at hospital and community settings. Journal of Medical Economics. 2023; 26(1): 1081-4.
31.    Anupama AH, Srilekha G, Uma Priya G. Review on Artificial Intelligence (AI) in Drug Dispensing and Drug Management. Int J Pharm Sci Rev Res. 2020; 61(2): 32-35. Available from: https://globalresearchonline.net/journalcontents/v61-2/07.pdf.
32.    Zheng Y, Rowell B, Chen Q, Kim JY, Al Kontar R, Yang XJ, Lester CA. Designing Human-Centered AI to Prevent Medication Dispensing Errors: Focus Group Study with Pharmacists. JMIR Formative Research. 2023; 7(1): e51921.


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